Unnamed: 0 int64 0 41k | title stringlengths 4 274 | category stringlengths 5 18 | summary stringlengths 22 3.66k | theme stringclasses 8
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15,102 | A hybrid formalism to parse Sign Languages | cs.CL | Sign Language (SL) linguistic is dependent on the expensive task of
annotating. Some automation is already available for low-level information (eg.
body part tracking) and the lexical level has shown significant progresses. The
syntactic level lacks annotated corpora as well as complete and consistent
models. This arti... | computer science |
15,103 | Sign Language Gibberish for syntactic parsing evaluation | cs.CL | Sign Language (SL) automatic processing slowly progresses bottom-up. The
field has seen proposition to handle the video signal, to recognize and
synthesize sublexical and lexical units. It starts to see the development of
supra-lexical processing. But the recognition, at this level, lacks data. The
syntax of SL appears... | computer science |
15,104 | Spelling Error Trends and Patterns in Sindhi | cs.CL | Statistical error Correction technique is the most accurate and widely used
approach today, but for a language like Sindhi which is a low resourced
language the trained corpora's are not available, so the statistical techniques
are not possible at all. Instead a useful alternative would be to exploit
various spelling e... | computer science |
15,105 | Using Entropy Estimates for DAG-Based Ontologies | cs.CL | Motivation: Entropy measurements on hierarchical structures have been used in
methods for information retrieval and natural language modeling. Here we
explore its application to semantic similarity. By finding shared ontology
terms, semantic similarity can be established between annotated genes. A common
procedure for ... | computer science |
15,106 | Clinical TempEval | cs.CL | We describe the Clinical TempEval task which is currently in preparation for
the SemEval-2015 evaluation exercise. This task involves identifying and
describing events, times and the relations between them in clinical text. Six
discrete subtasks are included, focusing on recognising mentions of times and
events, descri... | computer science |
15,107 | An efficiency dependency parser using hybrid approach for tamil language | cs.CL | Natural language processing is a prompt research area across the country.
Parsing is one of the very crucial tool in language analysis system which aims
to forecast the structural relationship among the words in a given sentence.
Many researchers have already developed so many language tools but the accuracy
is not mee... | computer science |
15,108 | Implementation of an Automatic Sign Language Lexical Annotation
Framework based on Propositional Dynamic Logic | cs.CL | In this paper, we present the implementation of an automatic Sign Language
(SL) sign annotation framework based on a formal logic, the Propositional
Dynamic Logic (PDL). Our system relies heavily on the use of a specific variant
of PDL, the Propositional Dynamic Logic for Sign Language (PDLSL), which lets
us describe S... | computer science |
15,109 | Sign Language Lexical Recognition With Propositional Dynamic Logic | cs.CL | This paper explores the use of Propositional Dynamic Logic (PDL) as a
suitable formal framework for describing Sign Language (SL), the language of
deaf people, in the context of natural language processing. SLs are visual,
complete, standalone languages which are just as expressive as oral languages.
Signs in SL usuall... | computer science |
15,110 | Hybrid Approach to English-Hindi Name Entity Transliteration | cs.CL | Machine translation (MT) research in Indian languages is still in its
infancy. Not much work has been done in proper transliteration of name entities
in this domain. In this paper we address this issue. We have used English-Hindi
language pair for our experiments and have used a hybrid approach. At first we
have proces... | computer science |
15,111 | Contextual Semantic Parsing using Crowdsourced Spatial Descriptions | cs.CL | We describe a contextual parser for the Robot Commands Treebank, a new
crowdsourced resource. In contrast to previous semantic parsers that select the
most-probable parse, we consider the different problem of parsing using
additional situational context to disambiguate between different readings of a
sentence. We show ... | computer science |
15,112 | Extracting Family Relationship Networks from Novels | cs.CL | We present an approach to the extraction of family relations from literary
narrative, which incorporates a technique for utterance attribution proposed
recently by Elson and McKeown (2010). In our work this technique is used in
combination with the detection of vocatives - the explicit forms of address
used by the char... | computer science |
15,113 | "Translation can't change a name": Using Multilingual Data for Named
Entity Recognition | cs.CL | Named Entities (NEs) are often written with no orthographic changes across
different languages that share a common alphabet. We show that this can be
leveraged so as to improve named entity recognition (NER) by using unsupervised
word clusters from secondary languages as features in state-of-the-art
discriminative NER ... | computer science |
15,114 | Learning Bilingual Word Representations by Marginalizing Alignments | cs.CL | We present a probabilistic model that simultaneously learns alignments and
distributed representations for bilingual data. By marginalizing over word
alignments the model captures a larger semantic context than prior work relying
on hard alignments. The advantage of this approach is demonstrated in a
cross-lingual clas... | computer science |
15,115 | Automatic Method Of Domain Ontology Construction based on
Characteristics of Corpora POS-Analysis | cs.CL | It is now widely recognized that ontologies, are one of the fundamental
cornerstones of knowledge-based systems. What is lacking, however, is a
currently accepted strategy of how to build ontology; what kinds of the
resources and techniques are indispensables to optimize the expenses and the
time on the one hand and th... | computer science |
15,116 | Latent semantics of action verbs reflect phonetic parameters of
intensity and emotional content | cs.CL | Conjuring up our thoughts, language reflects statistical patterns of word
co-occurrences which in turn come to describe how we perceive the world.
Whether counting how frequently nouns and verbs combine in Google search
queries, or extracting eigenvectors from term document matrices made up of
Wikipedia lines and Shake... | computer science |
15,117 | D-Bees: A Novel Method Inspired by Bee Colony Optimization for Solving
Word Sense Disambiguation | cs.CL | Word sense disambiguation (WSD) is a problem in the field of computational
linguistics given as finding the intended sense of a word (or a set of words)
when it is activated within a certain context. WSD was recently addressed as a
combinatorial optimization problem in which the goal is to find a sequence of
senses tha... | computer science |
15,118 | A Corpus of Sentence-level Revisions in Academic Writing: A Step towards
Understanding Statement Strength in Communication | cs.CL | The strength with which a statement is made can have a significant impact on
the audience. For example, international relations can be strained by how the
media in one country describes an event in another; and papers can be rejected
because they overstate or understate their findings. It is thus important to
understan... | computer science |
15,119 | An Expert System for Automatic Reading of A Text Written in Standard
Arabic | cs.CL | In this work we present our expert system of Automatic reading or speech
synthesis based on a text written in Standard Arabic, our work is carried out
in two great stages: the creation of the sound data base, and the
transformation of the written text into speech (Text To Speech TTS). This
transformation is done firstl... | computer science |
15,120 | Coordinate System Selection for Minimum Error Rate Training in
Statistical Machine Translation | cs.CL | Minimum error rate training (MERT) is a widely used training procedure for
statistical machine translation. A general problem of this approach is that the
search space is easy to converge to a local optimum and the acquired weight set
is not in accord with the real distribution of feature functions. This paper
introduc... | computer science |
15,121 | Phonetic based SoundEx & ShapeEx algorithm for Sindhi Spell Checker
System | cs.CL | This paper presents a novel combinational phonetic algorithm for Sindhi
Language, to be used in developing Sindhi Spell Checker which has yet not been
developed prior to this work. The compound textual forms and glyphs of Sindhi
language presents a substantial challenge for developing Sindhi spell checker
system and ge... | computer science |
15,122 | Temporal Analysis of Language through Neural Language Models | cs.CL | We provide a method for automatically detecting change in language across
time through a chronologically trained neural language model. We train the
model on the Google Books Ngram corpus to obtain word vector representations
specific to each year, and identify words that have changed significantly from
1900 to 2009. T... | computer science |
15,123 | INAUT, a Controlled Language for the French Coast Pilot Books
Instructions nautiques | cs.CL | We describe INAUT, a controlled natural language dedicated to collaborative
update of a knowledge base on maritime navigation and to automatic generation
of coast pilot books (Instructions nautiques) of the French National
Hydrographic and Oceanographic Service SHOM. INAUT is based on French language
and abundantly use... | computer science |
15,124 | Méthodes pour la représentation informatisée de données
lexicales / Methoden der Speicherung lexikalischer Daten | cs.CL | In recent years, new developments in the area of lexicography have altered
not only the management, processing and publishing of lexicographical data, but
also created new types of products such as electronic dictionaries and
thesauri. These expand the range of possible uses of lexical data and support
users with more ... | computer science |
15,125 | A preliminary study of Croatian Language Syllable Networks | cs.CL | This paper presents preliminary results of Croatian syllable networks
analysis. Syllable network is a network in which nodes are syllables and links
between them are constructed according to their connections within words. In
this paper we analyze networks of syllables generated from texts collected from
the Croatian W... | computer science |
15,126 | Les mathématiques de la langue : l'approche formelle de Montague | cs.CL | We present a natural language modelization method which is strongely relying
on mathematics. This method, called "Formal Semantics," has been initiated by
the American linguist Richard M. Montague in the 1970's. It uses mathematical
tools such as formal languages and grammars, first-order logic, type theory and
$\lambd... | computer science |
15,127 | Compositional Morphology for Word Representations and Language Modelling | cs.CL | This paper presents a scalable method for integrating compositional
morphological representations into a vector-based probabilistic language model.
Our approach is evaluated in the context of log-bilinear language models,
rendered suitably efficient for implementation inside a machine translation
decoder by factoring t... | computer science |
15,128 | Thematically Reinforced Explicit Semantic Analysis | cs.CL | We present an extended, thematically reinforced version of Gabrilovich and
Markovitch's Explicit Semantic Analysis (ESA), where we obtain thematic
information through the category structure of Wikipedia. For this we first
define a notion of categorical tfidf which measures the relevance of terms in
categories. Using th... | computer science |
15,129 | Narrowing the Modeling Gap: A Cluster-Ranking Approach to Coreference
Resolution | cs.CL | Traditional learning-based coreference resolvers operate by training the
mention-pair model for determining whether two mentions are coreferent or not.
Though conceptually simple and easy to understand, the mention-pair model is
linguistically rather unappealing and lags far behind the heuristic-based
coreference model... | computer science |
15,130 | New Perspectives in Sinographic Language Processing Through the Use of
Character Structure | cs.CL | Chinese characters have a complex and hierarchical graphical structure
carrying both semantic and phonetic information. We use this structure to
enhance the text model and obtain better results in standard NLP operations.
First of all, to tackle the problem of graphical variation we define
allographic classes of charac... | computer science |
15,131 | Machine Translation Model based on Non-parallel Corpus and
Semi-supervised Transductive Learning | cs.CL | Although the parallel corpus has an irreplaceable role in machine
translation, its scale and coverage is still beyond the actual needs.
Non-parallel corpus resources on the web have an inestimable potential value in
machine translation and other natural language processing tasks. This article
proposes a semi-supervised... | computer science |
15,132 | MotàMot project: conversion of a French-Khmer published dictionary for
building a multilingual lexical system | cs.CL | Economic issues related to the information processing techniques are very
important. The development of such technologies is a major asset for developing
countries like Cambodia and Laos, and emerging ones like Vietnam, Malaysia and
Thailand. The MotAMot project aims to computerize an under-resourced language:
Khmer, s... | computer science |
15,133 | Computerization of African languages-French dictionaries | cs.CL | This paper relates work done during the DiLAF project. It consists in
converting 5 bilingual African language-French dictionaries originally in Word
format into XML following the LMF model. The languages processed are Bambara,
Hausa, Kanuri, Tamajaq and Songhai-zarma, still considered as under-resourced
languages conce... | computer science |
15,134 | Building of Networks of Natural Hierarchies of Terms Based on Analysis
of Texts Corpora | cs.CL | The technique of building of networks of hierarchies of terms based on the
analysis of chosen text corpora is offered. The technique is based on the
methodology of horizontal visibility graphs. Constructed and investigated
language network, formed on the basis of electronic preprints arXiv on topics
of information retr... | computer science |
15,135 | Evaluating the fully automatic multi-language translation of the Swiss
avalanche bulletin | cs.CL | The Swiss avalanche bulletin is produced twice a day in four languages. Due
to the lack of time available for manual translation, a fully automated
translation system is employed, based on a catalogue of predefined phrases and
predetermined rules of how these phrases can be combined to produce sentences.
The system is ... | computer science |
15,136 | Cross-Language Personal Name Mapping | cs.CL | Name matching between multiple natural languages is an important step in
cross-enterprise integration applications and data mining. It is difficult to
decide whether or not two syntactic values (names) from two heterogeneous data
sources are alternative designation of the same semantic entity (person), this
process bec... | computer science |
15,137 | Optimality Theory as a Framework for Lexical Acquisition | cs.CL | This paper re-investigates a lexical acquisition system initially developed
for French.We show that, interestingly, the architecture of the system
reproduces and implements the main components of Optimality Theory. However, we
formulate the hypothesis that some of its limitations are mainly due to a poor
representation... | computer science |
15,138 | An HMM Based Named Entity Recognition System for Indian Languages: The
JU System at ICON 2013 | cs.CL | This paper reports about our work in the ICON 2013 NLP TOOLS CONTEST on Named
Entity Recognition. We submitted runs for Bengali, English, Hindi, Marathi,
Punjabi, Tamil and Telugu. A statistical HMM (Hidden Markov Models) based model
has been used to implement our system. The system has been trained and tested
on the N... | computer science |
15,139 | Training a Multilingual Sportscaster: Using Perceptual Context to Learn
Language | cs.CL | We present a novel framework for learning to interpret and generate language
using only perceptual context as supervision. We demonstrate its capabilities
by developing a system that learns to sportscast simulated robot soccer games
in both English and Korean without any language-specific prior knowledge.
Training empl... | computer science |
15,140 | Targetable Named Entity Recognition in Social Media | cs.CL | We present a novel approach for recognizing what we call targetable named
entities; that is, named entities in a targeted set (e.g, movies, books, TV
shows). Unlike many other NER systems that need to retrain their statistical
models as new entities arrive, our approach does not require such retraining,
which makes it ... | computer science |
15,141 | Microtask crowdsourcing for disease mention annotation in PubMed
abstracts | cs.CL | Identifying concepts and relationships in biomedical text enables knowledge
to be applied in computational analyses. Many biological natural language
process (BioNLP) projects attempt to address this challenge, but the state of
the art in BioNLP still leaves much room for improvement. Progress in BioNLP
research depend... | computer science |
15,142 | Gap-weighted subsequences for automatic cognate identification and
phylogenetic inference | cs.CL | In this paper, we describe the problem of cognate identification and its
relation to phylogenetic inference. We introduce subsequence based features for
discriminating cognates from non-cognates. We show that subsequence based
features perform better than the state-of-the-art string similarity measures
for the purpose ... | computer science |
15,143 | Detection is the central problem in real-word spelling correction | cs.CL | Real-word spelling correction differs from non-word spelling correction in
its aims and its challenges. Here we show that the central problem in real-word
spelling correction is detection. Methods from non-word spelling correction,
which focus instead on selection among candidate corrections, do not address
detection a... | computer science |
15,144 | SimLex-999: Evaluating Semantic Models with (Genuine) Similarity
Estimation | cs.CL | We present SimLex-999, a gold standard resource for evaluating distributional
semantic models that improves on existing resources in several important ways.
First, in contrast to gold standards such as WordSim-353 and MEN, it explicitly
quantifies similarity rather than association or relatedness, so that pairs of
enti... | computer science |
15,145 | Unsupervised Keyword Extraction from Polish Legal Texts | cs.CL | In this work, we present an application of the recently proposed unsupervised
keyword extraction algorithm RAKE to a corpus of Polish legal texts from the
field of public procurement. RAKE is essentially a language and domain
independent method. Its only language-specific input is a stoplist containing a
set of non-con... | computer science |
15,146 | Be Careful When Assuming the Obvious: Commentary on "The placement of
the head that minimizes online memory: a complex systems approach" | cs.CL | Ferrer-i-Cancho (2015) presents a mathematical model of both the synchronic
and diachronic nature of word order based on the assumption that memory costs
are a never decreasing function of distance and a few very general linguistic
assumptions. However, even these minimal and seemingly obvious assumptions are
not as sa... | computer science |
15,147 | Evaluating Neural Word Representations in Tensor-Based Compositional
Settings | cs.CL | We provide a comparative study between neural word representations and
traditional vector spaces based on co-occurrence counts, in a number of
compositional tasks. We use three different semantic spaces and implement seven
tensor-based compositional models, which we then test (together with simpler
additive and multipl... | computer science |
15,148 | Resolving Lexical Ambiguity in Tensor Regression Models of Meaning | cs.CL | This paper provides a method for improving tensor-based compositional
distributional models of meaning by the addition of an explicit disambiguation
step prior to composition. In contrast with previous research where this
hypothesis has been successfully tested against relatively simple compositional
models, in our wor... | computer science |
15,149 | Strongly Incremental Repair Detection | cs.CL | We present STIR (STrongly Incremental Repair detection), a system that
detects speech repairs and edit terms on transcripts incrementally with minimal
latency. STIR uses information-theoretic measures from n-gram models as its
principal decision features in a pipeline of classifiers detecting the
different stages of re... | computer science |
15,150 | Authorship recognition via fluctuation analysis of network topology and
word intermittency | cs.CL | Statistical methods have been widely employed in many practical natural
language processing applications. More specifically, complex networks concepts
and methods from dynamical systems theory have been successfully applied to
recognize stylistic patterns in written texts. Despite the large amount of
studies devoted to... | computer science |
15,151 | INRIASAC: Simple Hypernym Extraction Methods | cs.CL | Given a set of terms from a given domain, how can we structure them into a
taxonomy without manual intervention? This is the task 17 of SemEval 2015. Here
we present our simple taxonomy structuring techniques which, despite their
simplicity, ranked first in this 2015 benchmark. We use large quantities of
text (English ... | computer science |
15,152 | Beyond Word-based Language Model in Statistical Machine Translation | cs.CL | Language model is one of the most important modules in statistical machine
translation and currently the word-based language model dominants this
community. However, many translation models (e.g. phrase-based models) generate
the target language sentences by rendering and compositing the phrases rather
than the words. ... | computer science |
15,153 | An investigation into language complexity of World-of-Warcraft
game-external texts | cs.CL | We present a language complexity analysis of World of Warcraft (WoW)
community texts, which we compare to texts from a general corpus of web
English. Results from several complexity types are presented, including lexical
diversity, density, readability and syntactic complexity. The language of WoW
texts is found to be ... | computer science |
15,154 | Phrase-based Image Captioning | cs.CL | Generating a novel textual description of an image is an interesting problem
that connects computer vision and natural language processing. In this paper,
we present a simple model that is able to generate descriptive sentences given
a sample image. This model has a strong focus on the syntax of the
descriptions. We tr... | computer science |
15,155 | A new hybrid metric for verifying parallel corpora of Arabic-English | cs.CL | This paper discusses a new metric that has been applied to verify the quality
in translation between sentence pairs in parallel corpora of Arabic-English.
This metric combines two techniques, one based on sentence length and the other
based on compression code length. Experiments on sample test parallel
Arabic-English ... | computer science |
15,156 | Probabilistic Models for High-Order Projective Dependency Parsing | cs.CL | This paper presents generalized probabilistic models for high-order
projective dependency parsing and an algorithmic framework for learning these
statistical models involving dependency trees. Partition functions and
marginals for high-order dependency trees can be computed efficiently, by
adapting our algorithms which... | computer science |
15,157 | A Survey of Word Reordering in Statistical Machine Translation:
Computational Models and Language Phenomena | cs.CL | Word reordering is one of the most difficult aspects of statistical machine
translation (SMT), and an important factor of its quality and efficiency.
Despite the vast amount of research published to date, the interest of the
community in this problem has not decreased, and no single method appears to be
strongly domina... | computer science |
15,158 | Web-scale Surface and Syntactic n-gram Features for Dependency Parsing | cs.CL | We develop novel first- and second-order features for dependency parsing
based on the Google Syntactic Ngrams corpus, a collection of subtree counts of
parsed sentences from scanned books. We also extend previous work on surface
$n$-gram features from Web1T to the Google Books corpus and from first-order to
second-orde... | computer science |
15,159 | Breaking Sticks and Ambiguities with Adaptive Skip-gram | cs.CL | Recently proposed Skip-gram model is a powerful method for learning
high-dimensional word representations that capture rich semantic relationships
between words. However, Skip-gram as well as most prior work on learning word
representations does not take into account word ambiguity and maintain only
single representati... | computer science |
15,160 | Rational Kernels for Arabic Stemming and Text Classification | cs.CL | In this paper, we address the problems of Arabic Text Classification and
stemming using Transducers and Rational Kernels. We introduce a new stemming
technique based on the use of Arabic patterns (Pattern Based Stemmer). Patterns
are modelled using transducers and stemming is done without depending on any
dictionary. U... | computer science |
15,161 | Local Translation Prediction with Global Sentence Representation | cs.CL | Statistical machine translation models have made great progress in improving
the translation quality. However, the existing models predict the target
translation with only the source- and target-side local context information. In
practice, distinguishing good translations from bad ones does not only depend
on the local... | computer science |
15,162 | Parsing as Reduction | cs.CL | We reduce phrase-representation parsing to dependency parsing. Our reduction
is grounded on a new intermediate representation, "head-ordered dependency
trees", shown to be isomorphic to constituent trees. By encoding order
information in the dependency labels, we show that any off-the-shelf, trainable
dependency parser... | computer science |
15,163 | Task-Oriented Learning of Word Embeddings for Semantic Relation
Classification | cs.CL | We present a novel learning method for word embeddings designed for relation
classification. Our word embeddings are trained by predicting words between
noun pairs using lexical relation-specific features on a large unlabeled
corpus. This allows us to explicitly incorporate relation-specific information
into the word e... | computer science |
15,164 | The NLP Engine: A Universal Turing Machine for NLP | cs.CL | It is commonly accepted that machine translation is a more complex task than
part of speech tagging. But how much more complex? In this paper we make an
attempt to develop a general framework and methodology for computing the
informational and/or processing complexity of NLP applications and tasks. We
define a universa... | computer science |
15,165 | Studying the Wikipedia Hyperlink Graph for Relatedness and
Disambiguation | cs.CL | Hyperlinks and other relations in Wikipedia are a extraordinary resource
which is still not fully understood. In this paper we study the different types
of links in Wikipedia, and contrast the use of the full graph with respect to
just direct links. We apply a well-known random walk algorithm on two tasks,
word related... | computer science |
15,166 | An Unsupervised Method for Uncovering Morphological Chains | cs.CL | Most state-of-the-art systems today produce morphological analysis based only
on orthographic patterns. In contrast, we propose a model for unsupervised
morphological analysis that integrates orthographic and semantic views of
words. We model word formation in terms of morphological chains, from base
words to the obser... | computer science |
15,167 | On Using Monolingual Corpora in Neural Machine Translation | cs.CL | Recent work on end-to-end neural network-based architectures for machine
translation has shown promising results for En-Fr and En-De translation.
Arguably, one of the major factors behind this success has been the
availability of high quality parallel corpora. In this work, we investigate how
to leverage abundant monol... | computer science |
15,168 | An implementation of Apertium based Assamese morphological analyzer | cs.CL | Morphological Analysis is an important branch of linguistics for any Natural
Language Processing Technology. Morphology studies the word structure and
formation of word of a language. In current scenario of NLP research,
morphological analysis techniques have become more popular day by day. For
processing any language,... | computer science |
15,169 | $gen$CNN: A Convolutional Architecture for Word Sequence Prediction | cs.CL | We propose a novel convolutional architecture, named $gen$CNN, for word
sequence prediction. Different from previous work on neural network-based
language modeling and generation (e.g., RNN or LSTM), we choose not to greedily
summarize the history of words as a fixed length vector. Instead, we use a
convolutional neura... | computer science |
15,170 | Prediction Using Note Text: Synthetic Feature Creation with word2vec | cs.CL | word2vec affords a simple yet powerful approach of extracting quantitative
variables from unstructured textual data. Over half of healthcare data is
unstructured and therefore hard to model without involved expertise in data
engineering and natural language processing. word2vec can serve as a bridge to
quickly gather i... | computer science |
15,171 | Phrase database Approach to structural and semantic disambiguation in
English-Korean Machine Translation | cs.CL | In machine translation it is common phenomenon that machine-readable
dictionaries and standard parsing rules are not enough to ensure accuracy in
parsing and translating English phrases into Korean language, which is revealed
in misleading translation results due to consequent structural and semantic
ambiguities. This ... | computer science |
15,172 | Syntagma Lexical Database | cs.CL | This paper discusses the structure of Syntagma's Lexical Database (focused on
Italian). The basic database consists in four tables. Table Forms contains word
inflections, used by the POS-tagger for the identification of input-words.
Forms is related to Lemma. Table Lemma stores all kinds of grammatical features
of word... | computer science |
15,173 | On measuring linguistic intelligence | cs.CL | This work addresses the problem of measuring how many languages a person
"effectively" speaks given that some of the languages are close to each other.
In other words, to assign a meaningful number to her language portfolio.
Intuition says that someone who speaks fluently Spanish and Portuguese is
linguistically less p... | computer science |
15,174 | Multilingual Open Relation Extraction Using Cross-lingual Projection | cs.CL | Open domain relation extraction systems identify relation and argument
phrases in a sentence without relying on any underlying schema. However,
current state-of-the-art relation extraction systems are available only for
English because of their heavy reliance on linguistic tools such as
part-of-speech taggers and depen... | computer science |
15,175 | Yara Parser: A Fast and Accurate Dependency Parser | cs.CL | Dependency parsers are among the most crucial tools in natural language
processing as they have many important applications in downstream tasks such as
information retrieval, machine translation and knowledge acquisition. We
introduce the Yara Parser, a fast and accurate open-source dependency parser
based on the arc-e... | computer science |
15,176 | Unsupervised POS Induction with Word Embeddings | cs.CL | Unsupervised word embeddings have been shown to be valuable as features in
supervised learning problems; however, their role in unsupervised problems has
been less thoroughly explored. In this paper, we show that embeddings can
likewise add value to the problem of unsupervised POS induction. In two
representative model... | computer science |
15,177 | Morphological Analyzer and Generator for Russian and Ukrainian Languages | cs.CL | pymorphy2 is a morphological analyzer and generator for Russian and Ukrainian
languages. It uses large efficiently encoded lexi- cons built from OpenCorpora
and LanguageTool data. A set of linguistically motivated rules is developed to
enable morphological analysis and generation of out-of-vocabulary words
observed in ... | computer science |
15,178 | Unsupervised authorship attribution | cs.CL | We describe a technique for attributing parts of a written text to a set of
unknown authors. Nothing is assumed to be known a priori about the writing
styles of potential authors. We use multiple independent clusterings of an
input text to identify parts that are similar and dissimilar to one another. We
describe algor... | computer science |
15,179 | Normalization of Non-Standard Words in Croatian Texts | cs.CL | This paper presents text normalization which is an integral part of any
text-to-speech synthesis system. Text normalization is a set of methods with a
task to write non-standard words, like numbers, dates, times, abbreviations,
acronyms and the most common symbols, in their full expanded form are
presented. The whole t... | computer science |
15,180 | Towards Using Machine Translation Techniques to Induce Multilingual
Lexica of Discourse Markers | cs.CL | Discourse markers are universal linguistic events subject to language
variation. Although an extensive literature has already reported language
specific traits of these events, little has been said on their cross-language
behavior and on building an inventory of multilingual lexica of discourse
markers. This work descr... | computer science |
15,181 | Multilingual Multiword Expressions | cs.CL | The project aims to provide a semi-supervised approach to identify Multiword
Expressions in a multilingual context consisting of English and most of the
major Indian languages. Multiword expressions are a group of words which refers
to some conventional or regional way of saying things. If they are literally
translated... | computer science |
15,182 | Definition Modeling: Learning to define word embeddings in natural
language | cs.CL | Distributed representations of words have been shown to capture lexical
semantics, as demonstrated by their effectiveness in word similarity and
analogical relation tasks. But, these tasks only evaluate lexical semantics
indirectly. In this paper, we study whether it is possible to utilize
distributed representations t... | computer science |
15,183 | Neural Document Embeddings for Intensive Care Patient Mortality
Prediction | cs.CL | We present an automatic mortality prediction scheme based on the unstructured
textual content of clinical notes. Proposing a convolutional document embedding
approach, our empirical investigation using the MIMIC-III intensive care
database shows significant performance gains compared to previously employed
methods such... | computer science |
15,184 | Shift-Reduce Constituent Parsing with Neural Lookahead Features | cs.CL | Transition-based models can be fast and accurate for constituent parsing.
Compared with chart-based models, they leverage richer features by extracting
history information from a parser stack, which spans over non-local
constituents. On the other hand, during incremental parsing, constituent
information on the right ha... | computer science |
15,185 | Alleviating Overfitting for Polysemous Words for Word Representation
Estimation Using Lexicons | cs.CL | Though there are some works on improving distributed word representations
using lexicons, the improper overfitting of the words that have multiple
meanings is a remaining issue deteriorating the learning when lexicons are
used, which needs to be solved. An alternative method is to allocate a vector
per sense instead of... | computer science |
15,186 | ESE: Efficient Speech Recognition Engine with Sparse LSTM on FPGA | cs.CL | Long Short-Term Memory (LSTM) is widely used in speech recognition. In order
to achieve higher prediction accuracy, machine learning scientists have built
larger and larger models. Such large model is both computation intensive and
memory intensive. Deploying such bulky model results in high power consumption
and leads... | computer science |
15,187 | Automated assessment of non-native learner essays: Investigating the
role of linguistic features | cs.CL | Automatic essay scoring (AES) refers to the process of scoring free text
responses to given prompts, considering human grader scores as the gold
standard. Writing such essays is an essential component of many language and
aptitude exams. Hence, AES became an active and established area of research,
and there are many p... | computer science |
15,188 | Creating a Real-Time, Reproducible Event Dataset | cs.CL | The generation of political event data has remained much the same since the
mid-1990s, both in terms of data acquisition and the process of coding text
into data. Since the 1990s, however, there have been significant improvements
in open-source natural language processing software and in the availability of
digitized n... | computer science |
15,189 | Unit Dependency Graph and its Application to Arithmetic Word Problem
Solving | cs.CL | Math word problems provide a natural abstraction to a range of natural
language understanding problems that involve reasoning about quantities, such
as interpreting election results, news about casualties, and the financial
section of a newspaper. Units associated with the quantities often provide
information that is e... | computer science |
15,190 | CER: Complementary Entity Recognition via Knowledge Expansion on Large
Unlabeled Product Reviews | cs.CL | Product reviews contain a lot of useful information about product features
and customer opinions. One important product feature is the complementary
entity (products) that may potentially work together with the reviewed product.
Knowing complementary entities of the reviewed product is very important
because customers ... | computer science |
15,191 | Mapping the Dialog Act Annotations of the LEGO Corpus into the
Communicative Functions of ISO 24617-2 | cs.CL | In this paper we present strategies for mapping the dialog act annotations of
the LEGO corpus into the communicative functions of the ISO 24617-2 standard.
Using these strategies, we obtained an additional 347 dialogs annotated
according to the standard. This is particularly important given the reduced
amount of existi... | computer science |
15,192 | Sequential Matching Network: A New Architecture for Multi-turn Response
Selection in Retrieval-based Chatbots | cs.CL | We study response selection for multi-turn conversation in retrieval-based
chatbots. Existing work either concatenates utterances in context or matches a
response with a highly abstract context vector finally, which may lose
relationships among utterances or important contextual information. We propose
a sequential mat... | computer science |
15,193 | Listen and Translate: A Proof of Concept for End-to-End Speech-to-Text
Translation | cs.CL | This paper proposes a first attempt to build an end-to-end speech-to-text
translation system, which does not use source language transcription during
learning or decoding. We propose a model for direct speech-to-text translation,
which gives promising results on a small French-English synthetic corpus.
Relaxing the nee... | computer science |
15,194 | Condensed Memory Networks for Clinical Diagnostic Inferencing | cs.CL | Diagnosis of a clinical condition is a challenging task, which often requires
significant medical investigation. Previous work related to diagnostic
inferencing problems mostly consider multivariate observational data (e.g.
physiological signals, lab tests etc.). In contrast, we explore the problem
using free-text medi... | computer science |
15,195 | When is multitask learning effective? Semantic sequence prediction under
varying data conditions | cs.CL | Multitask learning has been applied successfully to a range of tasks, mostly
morphosyntactic. However, little is known on when MTL works and whether there
are data characteristics that help to determine its success. In this paper we
evaluate a range of semantic sequence labeling tasks in a MTL setup. We examine
differe... | computer science |
15,196 | Embedding Words and Senses Together via Joint Knowledge-Enhanced
Training | cs.CL | Word embeddings are widely used in Natural Language Processing, mainly due to
their success in capturing semantic information from massive corpora. However,
their creation process does not allow the different meanings of a word to be
automatically separated, as it conflates them into a single vector. We address
this is... | computer science |
15,197 | Entity Identification as Multitasking | cs.CL | Standard approaches in entity identification hard-code boundary detection and
type prediction into labels (e.g., John/B-PER Smith/I-PER) and then perform
Viterbi. This has two disadvantages: 1. the runtime complexity grows
quadratically in the number of types, and 2. there is no natural segment-level
representation. In... | computer science |
15,198 | Discovering Conversational Dependencies between Messages in Dialogs | cs.CL | We investigate the task of inferring conversational dependencies between
messages in one-on-one online chat, which has become one of the most popular
forms of customer service. We propose a novel probabilistic classifier that
leverages conversational, lexical and semantic information. The approach is
evaluated empirica... | computer science |
15,199 | Evaluating Creative Language Generation: The Case of Rap Lyric
Ghostwriting | cs.CL | Language generation tasks that seek to mimic human ability to use language
creatively are difficult to evaluate, since one must consider creativity,
style, and other non-trivial aspects of the generated text. The goal of this
paper is to develop evaluation methods for one such task, ghostwriting of rap
lyrics, and to p... | computer science |
15,200 | #HashtagWars: Learning a Sense of Humor | cs.CL | In this work, we present a new dataset for computational humor, specifically
comparative humor ranking, which attempts to eschew the ubiquitous binary
approach to humor detection. The dataset consists of tweets that are humorous
responses to a given hashtag. We describe the motivation for this new dataset,
as well as t... | computer science |
15,201 | A Character-Word Compositional Neural Language Model for Finnish | cs.CL | Inspired by recent research, we explore ways to model the highly
morphological Finnish language at the level of characters while maintaining the
performance of word-level models. We propose a new
Character-to-Word-to-Character (C2W2C) compositional language model that uses
characters as input and output while still int... | computer science |
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